PPT-Text-based research

Interpreting with analysis and synthesis Textbased research All good research questions begin by looking at what other researchers have looked at in topics related to your research This is often called a literature review We will be covering what these look like later on. Computational Models of Discourse. Presented by : Henock Tilahun . Information Ordering for Text Generation. Papers to be presented:. “. Evaluating Centering-based Metrics of Coherence Using a Reliably Annotated Corpus. David Kauchak. CS159 – Fall 2014. Collaborators: Will . Coster. , Dan . Feblowitz. . and . Gondy. Leroy. Admin. Paper draft due 5pm Wednesday. Must be done with all of your experiments. “Results” section is required. Leah Nickerson. Lucus. Teaching Middle School Students to Be Active Researchers. by . Judith M. . Zorfass. and Harriet . Copel. . Zorfass. , J. (1998). . Teaching middle school students to be active researchers. Find an Ecological Solution. Standards & Objectives. Content Objectives. Language. Objectives. We will conduct research to determine cause. and effect relationships within the events prescribed in this issue.. Opportunities and Barriers. John . McNaught. Deputy Director. National Centre for Text Mining. John.McNaught@manchester.ac.uk. Topics. What is text mining? (briefly). What can it offer? (selectively). Copyright © 2014 by Write Score LLC. Text-based Analysis: What is it?. What does text-based analysis mean?. Why is it important?. Explicit instruction. What is the meaning of . text-based. ?. All . claims and evidence come from details within the boundaries of the text. . Sandra A. Martin, M.L.I.S.. Instructor of Library Services. Health Sciences Resource Coordinator. John Vaughan Library Room 305B. marti004@nsuok.edu. – 918-444-3263. 1. Knowledge is the Enemy of Disease. Post-cancellation / Perpetual Access in Lithuania . Linas Salelionis. Kaunas University of Technology. Lithuanian Academic Libraries Consortium. Full-text Databases in Lithuania. Lithuanian Academic Electronic Library eLABa.  . Sandra A. Martin, M.L.I.S.. Health Sciences Resource Coordinator. Instructor of Library Services. John Vaughan Library Room 305B. marti004@nsuok.edu. – 918-444-3263. Existing knowledge can prevent…. Sandra A. Martin, M.L.I.S.. Instructor of Library Services. Health Sciences Resource Coordinator. John Vaughan Library Room 305B. marti004@nsuok.edu. – 918-444-3263. 1. Knowledge is the Enemy of Disease. Sandra A. Martin, M.L.I.S.. Instructor of Library Services. Health Sciences Resource Coordinator. John Vaughan Library Room 305B. marti004@nsuok.edu. – 918-444-3263. 1. Knowledge is the Enemy of Disease. Text Simplification David Kauchak CS159 – Spring 2019 Collaborators: Will Coster , Dan Feblowitz and Gondy Leroy Admin Final projects Wednesday’s lecture Text simplification Any intelligent fool can make things bigger, more complex, and more violent. It takes a touch of genius and a lot of courage to move in the opposite direction. Petr . Knoth & Drahomira Herrmannova. Knowledge Media institute, . The Open University. Current impact metrics. Pros: simplicity, . a. vailability . for evaluation purposes. Cons: insufficient . evidence of quality and research contribution. CS159 – Fall 2014. Collaborators: Will . Coster. , Dan . Feblowitz. . and . Gondy. Leroy. Admin. Paper draft due 5pm Wednesday. Must be done with all of your experiments. “Results” section is required.